Introducing Chapel: A Programming Language for Productive Parallel Computing from Laptops to Supercomputers
Explore Chapel, a programming language for efficient parallel computing across devices. Learn key features and applications in aerodynamics, data science, and atmospheric research.
Federated Machine Learning with Kubernetes
Explore federated machine learning implementation on Kubernetes, enhancing data privacy and collaboration across distributed datasets without centralized storage.
Federated Learning All-in-One Box
Explore federated learning architecture, deployment workflows, and practical demonstrations using Microshift for decentralized machine learning applications.
Accelerate Model Training with a High-Performance Distributed AI/ML Stack for the Cloud
Learn to accelerate AI/ML model training using Ray and Open Data Hub for efficient resource management and distributed computing in cloud environments, enhancing scalability and performance.
Democratizing Deep Learning at Scale with Horovod
Explore Horovod's capabilities for scaling deep learning across distributed systems, enhancing efficiency and accessibility for AI practitioners and researchers.
Kubernetes and Linux Base Disaggregation: From CPU-Centric Compute Across Edge and Core
Explore Kubernetes and Linux base disaggregation from CPU-centric compute across edge and core environments, enhancing distributed system efficiency and scalability.
Persistent Memory Plus RDMA - New Age Remote Device
Explore the innovative combination of Persistent Memory and RDMA technologies, revolutionizing remote device capabilities in modern computing systems.
Streaming and Distributed Algorithms - Session 2C
Explore cutting-edge streaming and distributed algorithms in this IEEE conference session, featuring innovative research and insights for computational efficiency in large-scale systems.
Dynamic Graphs - Session 8B
Explore cutting-edge research on dynamic graph algorithms and their applications in computer science at this IEEE FOCS 2020 session.
Dynamic Graphs - Session 7B
Explore cutting-edge research on dynamic graph algorithms and their applications in computer science at this IEEE FOCS 2020 session.
Stateful Workloads in Kubernetes - A Deep Dive
Explore stateful workloads in Kubernetes, including challenges, existing support features, and future developments for managing data-dependent applications across distributed systems.
Training Foundation Model Workloads on Kubernetes at Scale with MCAD
Explore how IBM's Vela supercomputer uses MCAD to queue custom resources for large-scale AI training on Kubernetes, enabling flexible frameworks and fault tolerance across hundreds of GPUs.
Training Large Language Models on Kubernetes
Explore challenges and best practices for training Large Language Models on Kubernetes, including optimization techniques, resource management, and benchmarks comparing K8s to bare metal environments.
Kubernetes and Cloud Native at the SKA Observatory - Exploring the Radio Universe
Explore how Kubernetes and cloud native solutions are revolutionizing radio astronomy at the SKA Observatory, enabling groundbreaking research into the mysteries of the Universe.
Transitioning from Curiosity to Commodity - Mainstreaming IPFS
Explore strategies for mainstream IPFS adoption, transitioning from early adopters to pragmatic users. Discuss ecosystem challenges and solutions for widespread implementation.
Secret Sharing and Secure Multiparty Computation
Explore cutting-edge cryptographic techniques in secret sharing and secure multiparty computation, advancing knowledge in data privacy and collaborative computations.
Secure Multiparty Computation - Session III
Explore advanced concepts in secure multiparty computation, focusing on cutting-edge research and developments presented at Crypto 2022.
Multi-Party Computation Advances - Session II
Explore advanced concepts in multi-party computation, focusing on recent developments and cutting-edge research presented at TCC 2022.
Multi-Party Computation - PKC 2023 Session
Explore cutting-edge developments in Multi-Party Computation (MPC) through expert presentations and discussions at the PKC 2023 conference session.
Efficient MPC Constructions - Eurocrypt 2023 Session
Explore cutting-edge advancements in secure multi-party computation protocols, focusing on efficiency improvements and novel constructions in cryptography.
Multi-party Computation II - Session 12
Explore advanced multi-party computation techniques, including adaptive security, efficient arguments, and polynomial commitments. Learn about new results and applications in cryptography.